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ACM Conference on Post-Quantum and Quantum-based Security

Direct information lower bounds for one-way communication complexity problems: Applications to the demonstration of an unconditional quantum advantage and to cryptography (Short Paper)

Romain Alléaume, Gabriel Blanchot, Philippe Gaborit, Francesco Mazzoncini

Published Oct 26, 2026• 0 citations
Publisher

Abstract

Information cost is often treated as a secondary quantity in communication complexity, even when the operational resource of interest is the information revealed by a protocol rather than its message length. This mismatch becomes particularly important in quantum communication and cryptography, where classical leakage must be compared directly with the information carried by quantum states. For this reason, we derive direct finite-size lower bounds, with explicit constants, on the information cost of one-way private-coin protocols for Hidden Matching, a communication-complexity problem, and two related tasks: Sampling Matching and Beta-Partial Matching. These bounds lead to two concrete applications. First, they provide a universal classical benchmark for coherent-state implementations of Sampling Matching, opening a route to an unconditional quantum advantage in information cost for a one-way communication complexity problem on a photonic platform. Second, they substantially tighten the analysis of HM-QCT, a recent everlastingly secure hybrid post-quantum/QKD protocol, bringing its implementation closer to realistic optical parameters while preserving the possibility of exceeding the fundamental rate-loss limits of standard QKD.

DOI
10.1145/3839338.3857252

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Tight Bounds for the Randomized and Quantum Communication Complexities of Equality with Small Error

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Electronic colloquium on computational complexity•Jan 1, 2021•0 citations
Information cost is often treated as a secondary quantity in communication complexity, even when the operational resource of interest is the information revealed by a protocol rather than its message length. This mismatch becomes particularly important in quantum communication and cryptography, where classical leakage must be compared directly with the information carried by quantum states. For this reason, we derive direct finite-size lower bounds, with explicit constants, on the information cost of one-way private-coin protocols for Hidden Matching, a communication-complexity problem, and two related tasks: Sampling Matching and Beta-Partial Matching. These bounds lead to two concrete applications. First, they provide a universal classical benchmark for coherent-state implementations of Sampling Matching, opening a route to an unconditional quantum advantage in information cost for a one-way communication complexity problem on a photonic platform. Second, they substantially tighten the analysis of HM-QCT, a recent everlastingly secure hybrid post-quantum/QKD protocol, bringing its implementation closer to realistic optical parameters while preserving the possibility of exceeding the fundamental rate-loss limits of standard QKD.
Communication complexity is a fundamental aspect of information science, concerned with the amount of communication required to solve a problem distributed among multiple parties. The standard quantification of one-way communication complexity relies on the minimal dimension of the communicated systems. In this paper, we measure the communication complexity of a task by the minimal required to accomplish it, while leaving the dimension of the communicated systems unconstrained. Distinguishability is defined as the maximum probability of correctly guessing the sender's input from the message, quantifying the message's distinctiveness relative to the sender's input. This measure becomes especially relevant when maintaining the confidentiality of the sender's input is essential. After establishing the generic framework, we focus on three relevant families of communication complexity tasks—the random access codes, equality problems defined by graphs, and the pair-distinguishability tasks. We derive general lower bounds on the minimal classical distinguishability as a function of the success metric of these tasks. We demonstrate that quantum communication outperforms classical communication presenting explicit protocols and utilizing semidefinite programming methods. In particular, we demonstrate for random access codes and Hadamard graph-based equality problems. Specifically, we show that the classical-to-quantum ratio of minimal distinguishability required to achieve the same success metric escalates polynomially and exponentially with the complexity of these tasks, reaching arbitrarily large values. Published by the American Physical Society 2024
We investigate the randomized and quantum communication complexities of the well-studied Equality function with small error probability εεε, getting optimal constant factors in the leading terms in a number of different models. In the randomized model, 1) we give a general technique to convert public-coin protocols to private-coin protocols by incurring a small multiplicative error, at a small additive cost. This is an improvement over Newman's theorem [Inf. Proc. Let.'91] in the dependence on the error parameter. 2) Using this we obtain a (log⁡(n/ε2)+4)(\log(n/ε^2)+4)(log(n/ε2)+4)-cost private-coin communication protocol that computes the nnn-bit Equality function, to error εεε. This improves upon the log⁡(n/ε3)+O(1)\log(n/ε^3)+O(1)log(n/ε3)+O(1) upper bound implied by Newman's theorem, and matches the best known lower bound, which follows from Alon [Comb. Prob. Comput.'09], up to an additive log⁡log⁡(1/ε)+O(1)\log\log(1/ε)+O(1)loglog(1/ε)+O(1). In the quantum model, 1) we exhibit a one-way protocol of cost log⁡(n/ε)+4\log(n/ε)+4log(n/ε)+4, that uses only pure states and computes the nnn-bit Equality function to error εεε. This bound was implicitly already shown by Nayak [PhD thesis'99]. 2) We show that any εεε-error one-way protocol for nnn-bit Equality that uses only pure states communicates at least log⁡(n/ε)−log⁡log⁡(1/ε)−O(1)\log(n/ε)-\log\log(1/ε)-O(1)log(n/ε)−loglog(1/ε)−O(1) qubits. 3) We exhibit a one-way protocol of cost log⁡(n/ε)+3\log(\sqrt{n}/ε)+3log(n​/ε)+3, that uses mixed states and computes the nnn-bit Equality function to error εεε. This is also tight up to an additive log⁡log⁡(1/ε)+O(1)\log\log(1/ε)+O(1)loglog(1/ε)+O(1), which follows from Alon's result. 4) We study the number of EPR pairs required to be shared in an entanglement-assisted one-way protocol. Our upper bounds also yield upper bounds on the approximate rank and related measures of the Identity matrix.
We study one-way quantum communication lower bounds for search problems. Unlike decision problems, search problems can have many valid outputs, which pose a fundamental barrier to standard quantum lower-bound techniques. We overcome this by developing a novel method based on matrix discrepancy, which allows us to bound the output measurements of a quantum protocol jointly. As applications of our method, we establish the first tight quantum lower bounds for two fundamental search problems in some natural parameter regimes: collision finding and triangle finding. For collision finding, we prove a tight Ω(N1/4)Ω(N^{1/4})Ω(N1/4) one-way quantum communication lower bound. Previously, the best-known quantum communication lower bound for collision finding was Ω(N1/12)Ω(N^{1/12})Ω(N1/12) due to Göös and Jain (RANDOM 2022), and no stronger bound was known even under the one-way restriction. For triangle finding in graph streams, we prove a one-pass quantum streaming space lower bound of Ω(ΔV)Ω\left(\sqrt{Δ_V}\right)Ω(ΔV​​) for graphs with mmm edges, Θ(m)Θ(m)Θ(m) triangles, and constant ΔEΔ_EΔE​, where ΔVΔ_VΔV​ and ΔEΔ_EΔE​ denote the maximum number of triangles sharing a common vertex and edge, respectively, under the condition that 1≤ΔV≤m2/31\le Δ_V\le m^{2/3}1≤ΔV​≤m2/3. This constitutes the first nontrivial quantum space lower bound in this regime, matching the classical upper bound of Jayaram and Kallaugher (RANDOM 2021) up to logarithmic factors. Notably, our method also recovers the classical lower bound of Kallaugher and Price (SODA 2017) through an entirely different argument, avoiding their Boolean-Hidden-Matching reduction that breaks down for quantum protocols.
The communication cost of a classical protocol is typically measured in terms of the number of bits communicated for this determines the time required for communication during the protocol. Similarly, for quantum communication protocols, which use finite-dimensional quantum states, the communication cost is measured in terms of the number of qubits communicated. However, in quantum physics, one can also use infinite-dimensional states, like optical quantum states, for communication protocols. Communication cost measures based on counting the (equivalent) number of qubits transmitted during communication cannot be directly used to measure the cost of such protocols, which use infinite-dimensional states. Moreover, one cannot infer any physical property of infinite-dimensional protocols using such qubit-based communication costs. In this paper, we provide a framework to understand the growth of physical resources in infinite-dimensional protocols. We focus on optical protocols for the sake of concreteness. The time required for communication and the energy expended during communication are identified as the important physical resources of such protocols. In an optical protocol, the time required for communication is determined by the number of time-bin modes that are transmitted from one party to another. The mean photon number of the messages sent determines the energy required during communication in the protocol. We prove a lower bound on the tradeoff between the growth of these two quantities with the growth of the problem size. We call such tradeoff relations optical quantum communication complexity relations.
We investigate the randomized and quantum communication complexities of the well-studied Equality function with small error probability ε, getting the optimal constant factors in the leading terms in various different models. The following are our results in the randomized model: - We give a general technique to convert public-coin protocols to private-coin protocols by incurring a small multiplicative error at a small additive cost. This is an improvement over Newman’s theorem [Inf. Proc. Let.'91] in the dependence on the error parameter. - As a consequence we obtain a (log(n/ε²) + 4)-cost private-coin communication protocol that computes the n-bit Equality function, to error ε. This improves upon the log(n/ε³) + O(1) upper bound implied by Newman’s theorem, and matches the best known lower bound, which follows from Alon [Comb. Prob. Comput.'09], up to an additive log log(1/ε) + O(1). The following are our results in various quantum models: - We exhibit a one-way protocol with log(n/ε) + 4 qubits of communication for the n-bit Equality function, to error ε, that uses only pure states. This bound was implicitly already shown by Nayak [PhD thesis'99]. - We give a near-matching lower bound: any ε-error one-way protocol for n-bit Equality that uses only pure states communicates at least log(n/ε) - log log(1/ε) - O(1) qubits. - We exhibit a one-way protocol with log(√n/ε) + 3 qubits of communication that uses mixed states. This is tight up to additive log log(1/ε) + O(1), which follows from Alon’s result. - We exhibit a one-way entanglement-assisted protocol achieving error probability ε with ⌈log(1/ε)⌉ + 1 classical bits of communication and ⌈log(√n/ε)⌉ + 4 shared EPR-pairs between Alice and Bob. This matches the communication cost of the classical public coin protocol achieving the same error probability while improving upon the amount of prior entanglement that is needed for this protocol, which is ⌈log(n/ε)⌉ + O(1) shared EPR-pairs. Our upper bounds also yield upper bounds on the approximate rank, approximate nonnegative-rank, and approximate psd-rank of the Identity matrix. As a consequence we also obtain improved upper bounds on these measures for a function that was recently used to refute the randomized and quantum versions of the log-rank conjecture (Chattopadhyay, Mande and Sherif [J. ACM'20], Sinha and de Wolf [FOCS'19], Anshu, Boddu and Touchette [FOCS'19]).
We investigate the randomized and quantum communication complexities of the well-studied Equality function with small error probability ϵ\epsilonϵ, getting the optimal constant factors in the leading terms in a number of different models. In the randomized model, 1) we give a general technique to convert public-coin protocols to private-coin protocols by incurring a small multiplicative error, at a small additive cost. This is an improvement over Newman's theorem [Inf. Proc. Let.'91] in the dependence on the error parameter. 2) Using this we obtain a (log⁡(n/ϵ2)+4)(\log(n/\epsilon^2)+4)(log(n/ϵ2)+4)-cost private-coin communication protocol that computes the nnn-bit Equality function, to error ϵ\epsilonϵ. This improves upon the log⁡(n/ϵ3)+O(1)\log(n/\epsilon^3)+O(1)log(n/ϵ3)+O(1) upper bound implied by Newman's theorem, and matches the best known lower bound, which follows from Alon [Comb. Prob. Comput.'09], up to an additive log⁡log⁡(1/ϵ)+O(1)\log\log(1/\epsilon)+O(1)loglog(1/ϵ)+O(1). In the quantum model, 1) we exhibit a one-way protocol of cost log⁡(n/ϵ)+4\log(n/\epsilon)+4log(n/ϵ)+4, that uses only pure states and computes the nnn-bit Equality function to error ϵ\epsilonϵ. This bound was implicitly already shown by Nayak [PhD thesis'99]. 2) We show that any ϵ\epsilonϵ-error one-way protocol for nnn-bit Equality that uses only pure states communicates at least log⁡(n/ϵ)−log⁡log⁡(1/ϵ)−O(1)\log(n/\epsilon)-\log\log(1/\epsilon)-O(1)log(n/ϵ)−loglog(1/ϵ)−O(1) qubits. 3) We exhibit a one-way protocol of cost log⁡(n/ϵ)+3\log(\sqrt{n}/\epsilon)+3log(n​/ϵ)+3, that uses mixed states and computes the nnn-bit Equality function to error ϵ\epsilonϵ. This is also tight up to an additive log⁡log⁡(1/ϵ)+O(1)\log\log(1/\epsilon)+O(1)loglog(1/ϵ)+O(1), which follows from Alon's result. Our upper bounds also yield upper bounds on the approximate rank and related measures of the Identity matrix. This also implies improved upper bounds on these measures for the distributed SINK function, which was recently used to refute the randomized and quantum versions of the log-rank conjecture.